
import matplotlib as mp
import matplotlib.pyplot as plt
import numpy as np
import plotly.graph_objects as go
import plotly as pl


# Bruno fernandes big chance creation every year in the premier league 

years = np.array([2020, 2021, 2022, 2023])
goals = np.array([8, 18, 10, 8])  # Replace with actual key passes data
assists = np.array([7, 12, 6, 8])     # Replace with actual assists data
bigChancesCreated = np.array([3, 20, 15, 32])  # Replace with actual expected assists data

# Create the line chart
plt.figure(figsize=(10, 6))

plt.plot(years, goals, marker='o', label='Goals')
plt.plot(years, assists, marker='o', label='Assists')
plt.plot(years, bigChancesCreated, marker='o', label='Big chances created')

plt.title("Bruno Fernandes's Chance Creation (2020-2023)")
plt.xlabel("Year")
plt.ylabel("Stat Count")
plt.xticks(years)
plt.grid(True)
plt.legend()

plt.show()


attributes = ["Passing", "Shooting", "Dribbling", "Defending", "Physical"]
values = [88, 82, 85, 65, 75]

fig = go.Figure()

fig.add_trace(go.Scatterpolar(
    r=values,
    theta=attributes,
    fill='toself',
    name='Bruno Fernandes'
))

fig.update_layout(
    polar=dict(
        radialaxis=dict(
            visible=True,
            range=[0, 100]
        )),
    showlegend=True,
    title="Frenkie De Jong's - Midfielder - Football Attributes"
)

fig.show()

"""
References : 

"""

'\nReferences : \n\n'


#Bruno Fernandes Key Passes per 90
matches = ["Wolves", "Spurs", "Nottingham Forest", "Arsenal", "Brighton", "Burnley"]
key_passes = [3, 4, 3, 4, 2, 2]  

plt.figure(figsize=(10, 6))

plt.bar(matches, key_passes, color='blue', alpha=0.5)
plt.title("Key Passes per 90")
plt.xlabel("Football Matches")
plt.ylabel("Key Passes")

plt.xticks(rotation=30, ha="right")  # Rotate x-axis labels for better readability

plt.show()


players = ['','J. Maddison', 'B. Fernandes', 'L. Messi']
spg = np.array([0, 2.4, 3.3, 5.6]) 
assists = np.array([0, 5, 12, 9])   
ratings = np.array([0, 7.00, 7.52, 8.52])

fig, ax = plt.subplots(figsize=(5, 5))
scatter = ax.scatter(spg, assists, s=ratings*15, alpha=0.5, c=ratings, cmap='viridis')

for i, player in enumerate(players):
    ax.annotate(player, (spg[i], assists[i]), fontsize=8, ha='center', va='center')

ax.set_xlabel("SpG")
ax.set_ylabel("Assists")
ax.set_title("Football Player Performance")

cbar = plt.colorbar(scatter)
cbar.set_label('Player Rating')

plt.grid(False)
plt.show()


pl.offline.init_notebook_mode()

Football Statistics¶

4 graphs of various chance creators in football. Line Chart, Spider Chart, Bar graph & a Bubble chart¶

Line Chart of Bruno fernandes big chance creation every year in the premier league¶

Spider Chart of Frenkie De Jong's Spider chart¶

Bar chart of Bruno Fernandes Key Passes per 90 in 2023¶

Bubble Chart comparing 3 chance creators in the world - SpG, Assists & Avg Match Ratings in the year 2019/2020¶